Senior Data Engineer

Babel, the great way to achieve the success.

Do you want to be part of an expanding, committed, and innovative team that makes history every day? At Babel, we accompany you on your path to success. We believe in the talent of people and we want to empower it by offering you a great working environment based on collaboration and solidarity.

Working at Babel is much more than working at a company; it is joining a team of people with a shared mission and a company model centered on values.

And we do this by promoting diversity, equity, and inclusion, guaranteeing equal opportunities to all candidates, in an environment free of any type of discrimination.

Additionally,

• We bet on work-life flexibility. (Point-based vacation system, remote work, and flexibility).

• We invest in the training of our Babelievers.

• We invest in your physical and emotional health. (Private Medical Insurance/ Life insurance, personal trainer, and wellbeing program).

• We also invest in your free time (Nature activities, sports championships, streaming platform subscription (e.g., Netflix))

• We participate in the growth of the company and recognize the participation of each person (Benefits Bonus).

• We focus on working with the latest technologies and innovative projects, but above all, we accompany digital transformation and bring technology closer to society.

Do you accept the challenge? We are waiting for you!

We look toward the future! Our Hyperspace 2029 strategic plan promises to be an exciting journey, full of opportunities to grow and develop professionally. Reaching 1 billion in revenue, a challenge that we are sure that with the collaboration and talent of our people, will be another success story that we will write together.

We are looking for a Senior Data Engineer with solid experience in Databricks, Apache Spark, and Scala, to work on enterprise-scale data solutions within the banking sector.

We are looking for a profile with technical autonomy, strong data architecture foundations, and the ability to develop, optimize, and maintain complex pipelines in production environments.

• Design and develop ETL/ELT pipelines on Databricks.
• Implement and optimize data processes with Spark and Scala.
• Work with large volumes of information and historical and incremental loads.
• Participate in the design and evolution of data architectures and models.
• Optimize the performance and efficiency of pipelines and processes.
• Perform troubleshooting and resolve production incidents.
• Work with Snowflake and manage code using Git/GitHub.